Detecting market manipulation with dual-branch self-supervised learning: A unified framework integrating frequency-informed anomaly synthesis and domain-specific features.

Yongsheng Dai|Barry Quinn|Fearghal Kearney|Weilong Liu|Ivor T. A. Spence|Karen Rafferty|Hui Wang


Anthology ID:DBLP:journals/ipm/DaiQKLSRW26
Year:2026
Venue:Information Processing and Management
Pages:104961
URL:https://doi.org/10.1016/J.IPM.2026.104961
DOI:https://doi.org/10.1016/J.IPM.2026.104961
DBLP:journals/ipm/DaiQKLSRW26
BibTeX:
@article{dai-2026-detecting, author = {Yongsheng Dai and Barry Quinn and Fearghal Kearney and Weilong Liu and Ivor T. A. Spence and Karen Rafferty and Hui Wang}, title = {{Detecting market manipulation with dual-branch self-supervised learning: A unified framework integrating frequency-informed anomaly synthesis and domain-specific features}}, journal = {Information Processing and Management}, volume = {63}, number = {8}, pages = {104961}, year = {2026}, url = {https://doi.org/10.1016/J.IPM.2026.104961}, doi = {https://doi.org/10.1016/J.IPM.2026.104961} }